Effects of recurrent hyperinsulinemia with and without hypoglycemia on counterregulation in diabetic rats
Bibliographic record
Abstract
To understand the mechanisms whereby recurrent hypoglycemia increases the risk of subsequent hypoglycemia, it was necessary to differentiate the effects of recurrent hyperinsulinemia from those of hyperinsulinemic hypoglycemia. We examined basal and hypoglycemic endocrine function in normal rats, streptozotocin-diabetic controls, and diabetic rats exposed to 4 days of 2 episodes/day of hyperinsulinemic hypoglycemia (DH) or hyperinsulinemic hyperglycemia (DI). DH and DI rats differentiated the effects of hyperinsulinemia from those of hypoglycemia. In diabetic controls, basal plasma ACTH tended to be increased, and plasma corticosterone, plasma somatostatin, and pancreatic prosomatostatin and proglucagon mRNA were increased (P < 0.05) vs. normal rats. These parameters were normalized in DH and DI rats. In diabetic controls, glucagon, epinephrine, norepinephrine, corticosterone, and peak glucose production responses to hypoglycemia were reduced (P < 0.05) vs. normal rats. In DI rats, epinephrine responses were normalized. Conversely, DH rats displayed marked further impairment of epinephrine and glucose production responses and increased peripheral insulin sensitivity (P < 0.05 vs. diabetic controls). Both insulin regimens partially normalized glucagon and fully normalized norepinephrine and corticosterone responses. In summary, recurrent hyperinsulinemia in diabetic rats normalized most pituitary-adrenal, sympathoadrenal, and pancreatic parameters. However, concurrent hypoglycemia further impaired epinephrine and glucose production responses and increased insulin sensitivity. We conclude that 1) recurrent hypoglycemia may increase the risk of subsequent hypoglycemia by increasing insulin sensitivity, and 2) epinephrine counterregulation is particularly sensitive to impairment by recurrent hypoglycemia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".